OPT AI Architect Jobs
AI Architect jobs on OPT require employers to support STEM OPT extension eligibility, since the role falls under CIP code 11.0401. Most positions involve designing large-scale AI systems, so expect technical interviews focused on model architecture, MLOps pipelines, and production deployment. Cap-gap protection matters if you're targeting H-1B visa sponsorship.
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Get Access To All JobsINTRODUCTION
Brandeis University's Graduate Professional Studies (GPS) is looking for an industry leader to teach in our Master of Science in Applied Biotechnology & Enterprise program. Brandeis University is consistently ranked among the nation's top universities, and our online courses are developed using best practices in online learning. Information about Brandeis University and Graduate Professional Studies can be found online.
Course Title: Artificial Intelligence & Machine Learning in Drug Development
This course explores the use of AI and ML in pharmaceutical R&D. Topics include data preprocessing, predictive modeling, and applications in target identification, drug screening, and clinical trial optimization. Students gain hands-on experience using tools and algorithms to analyze real-world biotech data sets.
QUALIFICATIONS
Qualified candidates will have Subject Matter Qualifications in the following areas.
Required:
- Current active employment in the relevant biotech or pharmaceutical industry
- Deep knowledge of course-specific applications and industry practices
- Ph.D. or M.S.
- Strong communication and analytical skills
Preferred:
- Previous teaching experience or experience delivering professional training
- Familiarity with online instructional tools and platforms
GENERAL RESPONSIBILITIES
- Design a syllabus following program chair guidance and the syllabus template
- Create content aligned with course outcomes, integrating personal expertise
- Facilitate online discussions and provide timely, relevant feedback
- Maintain the course site and update content in the Moodle LMS
- Lead students in AI model development and interpretation using biotech case studies
- Help students critically assess the limitations and ethics of AI in pharmaceutical innovation
GENERAL SKILL REQUIREMENTS
- Strong interpersonal skills and the ability to foster student engagement
- Written communication skills, especially for online learning
- Ability to manage time effectively and respond promptly to students
- Proficiency in applying machine learning tools (e.g., Python, scikit-learn, TensorFlow) to drug discovery datasets
ABOUT THE MASTER OF SCIENCE IN APPLIED BIOTECHNOLOGY & ENTERPRISE
This program prepares students to innovate and lead in the fast-paced biotech industry, integrating scientific knowledge with business strategy. Students learn through project-based, real-world applications.
All GPS courses are 8-weeks long and taught asynchronously online.
ABOUT GPS FACULTY
GPS Faculty are active industry professionals who teach part-time, online. Our instructors hold at least a master's degree, and many have terminal degrees and professional certifications. Previous teaching experience is not required; GPS provides full training.
APPLICATION PROCESS: Interested candidates should submit:
- A cover letter highlighting relevant qualifications and teaching experience.
- A current CV or resume.
- Contact information for three professional references.
- (Optional) Examples of teaching materials or professional publications related to leadership and industry innovation.
This appointment is to a position that is in a collective bargaining unit represented by SEIU Local 509.
The compensation for this position is $6573.15.
PAY RANGE DISCLOSURE
The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements.
EQUAL OPPORTUNITY STATEMENT
Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").
INTRODUCTION
Brandeis University's Graduate Professional Studies (GPS) is looking for an industry leader to teach in our Master of Science in Applied Biotechnology & Enterprise program. Brandeis University is consistently ranked among the nation's top universities, and our online courses are developed using best practices in online learning. Information about Brandeis University and Graduate Professional Studies can be found online.
Course Title: Artificial Intelligence & Machine Learning in Drug Development
This course explores the use of AI and ML in pharmaceutical R&D. Topics include data preprocessing, predictive modeling, and applications in target identification, drug screening, and clinical trial optimization. Students gain hands-on experience using tools and algorithms to analyze real-world biotech data sets.
QUALIFICATIONS
Qualified candidates will have Subject Matter Qualifications in the following areas.
Required:
- Current active employment in the relevant biotech or pharmaceutical industry
- Deep knowledge of course-specific applications and industry practices
- Ph.D. or M.S.
- Strong communication and analytical skills
Preferred:
- Previous teaching experience or experience delivering professional training
- Familiarity with online instructional tools and platforms
GENERAL RESPONSIBILITIES
- Design a syllabus following program chair guidance and the syllabus template
- Create content aligned with course outcomes, integrating personal expertise
- Facilitate online discussions and provide timely, relevant feedback
- Maintain the course site and update content in the Moodle LMS
- Lead students in AI model development and interpretation using biotech case studies
- Help students critically assess the limitations and ethics of AI in pharmaceutical innovation
GENERAL SKILL REQUIREMENTS
- Strong interpersonal skills and the ability to foster student engagement
- Written communication skills, especially for online learning
- Ability to manage time effectively and respond promptly to students
- Proficiency in applying machine learning tools (e.g., Python, scikit-learn, TensorFlow) to drug discovery datasets
ABOUT THE MASTER OF SCIENCE IN APPLIED BIOTECHNOLOGY & ENTERPRISE
This program prepares students to innovate and lead in the fast-paced biotech industry, integrating scientific knowledge with business strategy. Students learn through project-based, real-world applications.
All GPS courses are 8-weeks long and taught asynchronously online.
ABOUT GPS FACULTY
GPS Faculty are active industry professionals who teach part-time, online. Our instructors hold at least a master's degree, and many have terminal degrees and professional certifications. Previous teaching experience is not required; GPS provides full training.
APPLICATION PROCESS: Interested candidates should submit:
- A cover letter highlighting relevant qualifications and teaching experience.
- A current CV or resume.
- Contact information for three professional references.
- (Optional) Examples of teaching materials or professional publications related to leadership and industry innovation.
This appointment is to a position that is in a collective bargaining unit represented by SEIU Local 509.
The compensation for this position is $6573.15.
PAY RANGE DISCLOSURE
The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements.
EQUAL OPPORTUNITY STATEMENT
Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").
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Get Access To All JobsTips for Finding OPT Sponsorship in AI Architect
Confirm STEM OPT eligibility before applying
AI Architect roles qualify under computer science and engineering CIP codes, making you eligible for a 24-month STEM OPT extension. Verify your degree field appears on the official STEM designated degree program list before submitting applications.
Target employers with active E-Verify enrollment
STEM OPT extension requires your employer to be enrolled in E-Verify. Ask recruiters directly during early screening calls. Many large tech firms and AI-native companies already participate, but mid-size employers often need a heads-up before onboarding.
Time your job search against OPT expiration
Apply at least 90 days before your OPT end date. AI Architect hiring cycles run long due to technical rounds and committee approvals. Starting early gives you room to complete the full process without losing authorized work status mid-interview.
Frame your immigration status proactively with employers
Lead with your STEM OPT timeline and H-1B visa cap-gap protection in recruiter conversations. Employers unfamiliar with OPT often assume higher complexity. A brief, confident explanation of your authorized period removes hesitation before it becomes a blocker.
Prioritize roles with defined H-1B sponsorship pipelines
Ask hiring managers directly whether the company has sponsored H-1B visas in the past two years. Firms with established immigration counsel and recurring sponsorship history move significantly faster than those encountering the process for the first time.
Document your work product throughout OPT for Form I-983
STEM OPT requires a training plan submitted on Form I-983, updated with your employer. As an AI Architect, log specific projects, model deployments, and architectural decisions. Detailed documentation protects your extension status if USCIS issues a request for evidence.
AI Architect OPT: Frequently Asked Questions
Can I work as an AI Architect on OPT without H-1B sponsorship right away?
Yes. Your OPT work authorization is independent of H-1B sponsorship. You can begin working as an AI Architect immediately after your OPT start date, provided the role relates to your degree field. The STEM OPT extension gives you up to 36 months of total authorized work time, during which employers can initiate H-1B sponsorship.
Does an AI Architect role qualify for the STEM OPT extension?
AI Architect positions typically qualify under computer science, computer engineering, or electrical engineering degree programs, all of which appear on the STEM designated degree program list. Your eligibility depends on your specific degree's CIP code, not the job title alone. Confirm with your designated school official before applying for the extension on your SEVIS record.
How do I find AI Architect jobs where employers are open to OPT candidates?
Migrate Mate is built specifically for F-1 OPT students and filters for employers willing to hire candidates on work authorization. Searching there surfaces AI Architect openings from companies already familiar with STEM OPT requirements, which significantly reduces time spent screening out roles where your status is a non-starter.
What happens to my OPT status if I'm between AI Architect jobs?
OPT permits up to 90 days of unemployment during the standard period and 150 days total if you receive a STEM extension. Days without a formal employment relationship count toward that limit. If an offer falls through or a contract ends, begin your next search immediately and notify your DSO to keep your SEVIS record current.
Do AI Architect contractors or consulting arrangements count as valid OPT employment?
Yes, consulting and contract arrangements can qualify, but the work must directly relate to your degree field and you must have a formal engagement with the company. Self-employment structures are generally not permitted on OPT. For STEM OPT extension, the employer must be E-Verify enrolled and sign Form I-983 as your training plan supervisor.